Search research articles
Contact Us
Filters
Showing results (1-10 of 11) with videos related to
Page
of 2
Sort By:
Journal of Contaminant Hydrology
|
May 15, 2020
A novel Hybrid Wavelet-Locally Weighted Linear Regression (W-LWLR) Model for Electrical Conductivity (EC) Prediction in Surface Water
Iman Ahmadianfar, Mehdi Jamei, Xuefeng Chu
Scientific Reports
|
October 6, 2021
Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms
Masoud Karbasi, Mehdi Jamei, Iman Ahmadianfar, et al.
Plos One
|
July 15, 2017
Predicting all-cause risk of 30-day hospital readmission using artificial neural networks
Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, et al.
Environmental Science and Pollution Research International
|
May 21, 2022
Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India
Anurag Malik, Yazid Tikhamarine, Parveen Sihag, et al.
Plos One
|
May 18, 2018
Correction: Predicting all-cause risk of 30-day hospital readmission using artificial neural networks
Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, et al.
Scientific Reports
|
March 4, 2025
A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting
Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, et al.
Journal of Environmental Management
|
September 24, 2021
The assessment of emerging data-intelligence technologies for modeling Mg<sup>+2</sup> and SO<sub>4</sub><sup>-2</sup> surface water quality
Mehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, et al.
Scientific Reports
|
July 1, 2022
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh
Mehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Scientific Reports
|
July 1, 2024
Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
Masoud Karbasi, Mumtaz Ali, Sayed M Bateni, et al.
Scientific Reports
|
August 9, 2024
Publisher Correction: Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
Masoud Karbasi, Mumtaz Ali, Sayed M Bateni, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Journal of Contaminant Hydrology
|
May 15, 2020
A novel Hybrid Wavelet-Locally Weighted Linear Regression (W-LWLR) Model for Electrical Conductivity (EC) Prediction in Surface Water
Iman Ahmadianfar, Mehdi Jamei, Xuefeng Chu
Scientific Reports
|
October 6, 2021
Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms
Masoud Karbasi, Mehdi Jamei, Iman Ahmadianfar, et al.
Plos One
|
July 15, 2017
Predicting all-cause risk of 30-day hospital readmission using artificial neural networks
Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, et al.
Environmental Science and Pollution Research International
|
May 21, 2022
Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India
Anurag Malik, Yazid Tikhamarine, Parveen Sihag, et al.
Plos One
|
May 18, 2018
Correction: Predicting all-cause risk of 30-day hospital readmission using artificial neural networks
Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, et al.
Scientific Reports
|
March 4, 2025
A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting
Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, et al.
Journal of Environmental Management
|
September 24, 2021
The assessment of emerging data-intelligence technologies for modeling Mg<sup>+2</sup> and SO<sub>4</sub><sup>-2</sup> surface water quality
Mehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, et al.
Scientific Reports
|
July 1, 2022
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh
Mehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Scientific Reports
|
July 1, 2024
Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
Masoud Karbasi, Mumtaz Ali, Sayed M Bateni, et al.
Scientific Reports
|
August 9, 2024
Publisher Correction: Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
Masoud Karbasi, Mumtaz Ali, Sayed M Bateni, et al.
Page
of 2